Directional Source Localization Based on RSS-AOA Combined Measurements

作     者：Peiliang Zuo Tao Peng Hao Wu Kangyong You Hanbo Jing Wenbin Guo Wenbo Wang Peiliang Zuo;Tao Peng;Hao Wu;Kangyong You;Hanbo Jing;Wenbin Guo;Wenbo Wang

作者机构：Wireless Signal Processing and Network LaboratoryKey Laboratory of Universal Wireless CommunicationMinistry of EducationBeijing University of Posts and TelecommunicationsBeijing 100876China Department of Electronic and Communication EngineeringBeijing Electronic Science&Technology InstituteBeijing 100070China th Research Institute of China Electronics Technology Group Corporation(CETC)Guangzhou 510310China Beijing Institute of Remote Sensing EquipmentBeijing 100854China 

出 版 物：《China Communications》 (中国通信（英文版）)

年 卷 期：2020年第17卷第11期

页      面：181-193页

核心收录：

学科分类：080904[工学-电磁场与微波技术] 0810[工学-信息与通信工程] 0809[工学-电子科学与技术（可授工学、理学学位）] 080202[工学-机械电子工程] 08[工学] 080402[工学-测试计量技术及仪器] 0804[工学-仪器科学与技术] 081001[工学-通信与信息系统] 0802[工学-机械工程] 

基　　金：supported in part by Beijing Natural Science Foundation(No.19L2002) in part by the National Natural Science Foundation of China(No.61631004) in part by BUPT Excellent Ph.D.students Foundation(No.CX2019312) 

主　　题：localization directional source CRLB RSS AOA wireless sensor network(WSN) second-order cone programming(SOCP) 

摘      要：Source localization plays an indispensable role in many *** paper addresses the directional source localization problem in a three-dimensional(3D)wireless sensor network using hybrid received-signal-strength(RSS)and angle-of-arrival(AOA)*** the position and transmission orientation of the source are to be *** the considered positioning scenario,the angle and range measurements are respectively corresponding to the AOA model and RSS model that integrates the Gaussian-shaped radiation *** that the localization problem is non-convex and the unknown parameters therein are coupled together,this paper adopts the second-order cone relaxation and alternating optimization techniques in the proposed estimation ***,to provide a performance benchmark for any localization method,the corresponding Cramer-Rao lower bounds(CRLB)of estimating the unknown position and transmission orientation of the source are *** and simulation results demonstrate that the presented algorithm effectively resolves the problem,and its estimation performance is close to the CRLB for the localization with the hybrid measurements.